DBMS > EJDB vs. HugeGraph vs. Hypertable vs. searchxml

System Properties Comparison EJDB vs. HugeGraph vs. Hypertable vs. searchxml

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

A fast-speed and highly-scalable Graph DBMS

An open source BigTable implementation based on distributed file systems such as Hadoop

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Document store

Graph DBMS

Wide column store

Native XML DBMS
Search engine

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.27
Rank	#297	Overall
	#44	Document stores

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

github.com/Softmotions/ejdb

github.com/hugegraph
hugegraph.apache.org

www.searchxml.net/category/products

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

hugegraph.apache.org/docs

www.searchxml.net/support/handouts

Developer

Softmotions

Baidu

Hypertable Inc.

informationpartners gmbh

Initial release

2012

2018

2009

2015

Current release

0.9

0.9.8.11, March 2016

1.0

License

Commercial or Open Source

Open Source

GPLv2

Open Source

Apache Version 2.0

Open Source

GNU version 3. Commercial license available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

server-less

Linux
macOS
Unix

Linux
OS X
Windows

an inofficial Windows port is available

Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

also supports composite index and range index

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

APIs and other access methods

in-process shared library

Java API
RESTful HTTP API
TinkerPop Gremlin

C++ API
Thrift

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

Groovy
Java
Python

C++
Java
Perl
PHP
Python
Ruby

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

yes

on the application server

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

selectable replication factor on file system level

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

yes

edges in graph

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Users, roles and permissions

Domain, group and role-based access control at the document level and for application services

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